Our ‘industry-as-laboratory’ research concept integrates fundamental research challenges and industrial application into a single research programme to create breakthrough research in the area of embedded systems technology.

Some examples of our research projects

Constant requests for additional features, performance improvements and a wider range of configuration option is driving up the complexity of the embedded software in many types of high-end systems. Read more

Introducing system level modelling can significantly reduce the risk of unexpected feature interaction, performance bottlenecks and resource limitations being discovered late in the development process. Architects can model critical use cases running on new silicon prior to full implementation and subsequent testing. Read more

Cardinal was a multi-year public/private long term innovation research program with the goal of acquiring insights in requirements and architectures to facilitate Highly Automated Driving (HAD) from 2020 onwards in cars on public roads under all circumstances. Read more

The need for higher performance, more variability in usage, improved serviceability and reduction in the cost-of-ownership, drives a continuous need for optimization of complex mechatronic servo systems. Today’s product development methodologies only restrictedly address these needs, such as for accurate predictions of real-time system performance. Read more

More and more data is being created in the world of today, especially machine-generated data (MGD). Industry awareness is rising on how to define data, how to manage and store it and how to make use of it. This enormous growth of data poses significant challenges. The MaGenTa 2013 project focused on data distribution architectures, data modelling and data governance. Read more

The goal of this programme is to investigate and deliver the next generation of engineering methodologies, integrating a number of formalisms, techniques, methods, and tools, that help managing the increasing system complexity. Achieving this goal helps improve quality and reduce development costs for future generations of cyber-physical systems. Read more

Efficient monitoring and management of maritime activities is a critical task for all coastal states. It is necessary for collision avoidance, enforcement of fishing policies, pollution control, deterring criminal activities, guidance in cases of bad weather, etc. The challenge is how to do this effectively with a minimum of resources. Read more

The quality and cost-effectiveness of the product innovation process for high-tech systems can be much improved through the introduction of a ‘virtual prototype’ of the integrated product. Such an approach, when supported by appropriate software tooling, can significantly reduce the number of design and implementation cycles. It will also reduce or eliminate the need for physical prototypes. Read more

One of the key challenges in designing complex high-tech systems is to make the necessary trade-offs between system qualities. Examples of such system qualities are performance, reliability, robustness and output quality. Usually, the design of a new system is not a greenfield activity; it typically builds on existing design assets or product platforms. Read more

The goal of the Prisma project was to reduce the effort for the full product lifecycle of distributed control systems: specification, development, validation, installation, commissioning, upgrade, etc Read more

Fully autonomous vehicles and robotic surgery machines have enormous potential to change society. However, the combination of safety, security & privacy of connected and automated systems is still a concern in multiple application domains for many consumers in Europe. Read more